Jiyun Park
Scholar

Jiyun Park

Google Scholar ID: 7YJ_vWUAAAAJ
KAIST
Music Information RetrievalMachine LearningAudio Signal Processing
Citations & Impact
All-time
Citations
9
 
H-index
2
 
i10-index
0
 
Publications
3
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Matchmaker: An Open-Source Library For Real-Time Piano Score Following and Systematic Evaluation, ISMIR 2025 (First author)
  • ARGhost: Envisioning Sonic Heritage Preservation through AR Interactive Sound Design Game, ISEA 2025 (Co-first author)
  • A Real-Time Lyrics Alignment System Using Chroma And Phonetic Features For Classical Vocal Performance, ICASSP 2024 (First author)
  • A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles, ICASSP 2023
  • Matchmaker: A Python library for Real-time Music Alignment, ISMIR 2024 Late-Breaking Demo (First author)
  • Real-time Flutist Gesture Cue Detection System for Auto-Accompaniment, ISMIR 2024 Late-Breaking Demo
  • AI Performance Technology and Examples Using Self-Playing Piano, Korean Journal of Research on Performing Arts and Culture, Vol. 3, 2024
  • Real-Time Music Tracking System in Wearable AR Display for Music Performance, HCI Korea 2023 (First author)
  • ARGhost: AR Interactive Sound Synthesizer Game, Creative Awards of HCI Korea 2023 (Co-first author)
Research Experience
  • Jul 2024 – Aug 2024: Global Research Intern, YAMAHA, Hamamatsu, Japan
  • Jun 2022 – Present: CTO at BOOKEND INC., Daejeon, South Korea; Head of R&D team; Main product: 'Sentencify' (AI-powered cross-lingual sentence paraphrasing & translation tool)
  • May 2022 – Sep 2022: Virtual Space Environmental Sound Matching Data Project, National Information Society Agency (NIA)
  • Aug 2021 – Aug 2023: VR/AR Research Group, Korea Electronics Association (KEA)
  • Sep 2015 – Jan 2016: Exchange Student, University of Glasgow, Film and Television Studies
Background
  • Ph.D. student at the Graduate School of Culture Technology, KAIST
  • Member of the Music and Audio Computing Lab (MACLab)
  • Advised by Prof. Juhan Nam
  • Research interests include Music Information Retrieval (MIR), machine learning, Human-Computer Interaction (HCI), and Extended Reality (XR, including AR/MR)
  • Focuses on real-time systems for music performances